Machine Learning Engineer - Accommodations

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a Machine Learning Engineer in the Accommodations business unit, you’ll have the chance to work on different ML models in the production environment and play an integral role in taking them to the next level! You’ll have the chance to collaborate closely with other Analysts, Engineers, Product Managers and various business stakeholders and take full ownership of your work - from the initial idea generation phase to the implementation of the final product.

You will thrive at Booking.com if you are result-focused, innovative, and with a solid quantitative background, but most of all by understanding our complex business model and the logic behind it.

B.Responsible

• Translate specific business problems into ML/AI challenges and identify the best approach within the constraints of the production environment. Build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.
• Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime inference, monitoring and retraining. Monitor product health, performance and business impact and act accordingly when not met.
• Build readable and reusable code, choosing the right technologies, coding methodologies, and approach from carefully designed rapid prototyping to software deployment at scale. Identify opportunities for platform-based development and reuse by abstracting business problems to generalized ML/AI solutions.
• Execute applied research plans for machine intelligence on a specific product by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences. Document and share the findings.
• Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields. Coach others through evidence and clear communication, explaining advanced technical concepts.
• Identify underlying issues and opportunities across domains and situations through application of structured thinking and logic, and formulate possible improvements.
• Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, introducing them to the machine learning community and promoting their application in areas where they can generate impact.
• Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.
• Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with central teams.

B.Skilled

• 3+ years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems in a commercial environment.
• Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.
• Fluency in at least one programming language, with a strong preference for Python.
• Strong working knowledge of Spark and SQL.
• Experience working in a cloud environment is a plus.
• Experience with data-driven product development: analytics, A/B testing, etc.
• You have a ‘can do’ attitude and you act proactively and not reactively.
• BSc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
• Excellent English communication skills, both written and verbal.

B.Offered

• Living and working in Amsterdam, one of the most cosmopolitan cities in Europe
• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travellers worldwide
• Working in a fast-paced and performance driven culture
• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
• Promote and drive impactful and innovative engineering solutions
• Technical, behavioural and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
• Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com